This article presents a multistage singular spectrum analysis (SSA) method to denoise signal efficiently and adaptively. The SSA is apply the basic recursively toward noisy signal. Therefore, noise-dominated components will be extracted out from stage by stage. However, denoised still if number of stages small. On other hand, after all have been enough stages, some signal-dominated begin moved into noise group as SSA-based denoising proceeds. An adaptive criterion based on correlation...

In this letter, considering the reconfigurable intelligent surface’ (RIS’) service coverage limitation, we investigate outage probability (OP) of an RIS-aided cognitive radio network where RIS is used only to eliminate interference from secondary transmitter primary receiver. Specifically, a closed-form expression for OP derived and asymptotic obtained at high signal-to-noise ratio (SNR). We also present when number reflecting elements large. Simulation results validate our analysis, show...

Abstract Helically corrugated waveguides are valuable for constructing high-performance gyrotron devices and high-power pulse compressors. This paper establishes a theoretical model to analyze the dispersion characteristics of helically coaxial waveguides, where equations solving propagation constants coupled eigenmodes, as well detailed coupling coefficients various mode combinations provided. On this foundation, featuring single dual helical surfaces were systematically analyzed compared...

This paper proposes a novel method for detecting the Parkinson's diseases via applying empirical mode decomposition to filtered electromyograms. First, electromyograms are processed by different linear phase finite impulse response bandpass filters with pairs of cutoff frequencies. Second, each electromyogram is decomposed into several intrinsic functions. Third, both entropies and total numbers extrema functions computed they used as features diseases. Computer numerical simulation results...

This paper proposes a method for grouping singular spectrum analysis (SSA) components via the empirical mode decomposition (EMD) approach. To perform grouping, total number of groups is equal to intrinsic functions (IMFs). The SSA are assigned group where 2-norm between IMFs and grouped minimum. It can be formulated as mixed integer quadratic programming (MIQP) optimization problem. After applying our proposed obtain components, enjoy advantages both approach technique was tested on...

Previous works only focus on the optimization design for dual-hop cooperative ambient backscatter communication (AmBC) system with single-relay selection. The impact of relay selection outage performance AmBC systems is still missing. Motivated by this, in this paper, we investigate a selection, where link shares receiver cellular and harmful direct-link interference (DLI) mitigated using successive cancellation (SIC). In considered, selected has dual functions. One to forward message link,...

This paper proposes an optimization approach for representing instantaneous magnitudes and frequencies of signals. Signals are represented as the products their cosines phases. Also, both positive. These two conditions posed linear functional inequality constraints. To have smooth signals, sum total absolute values p th order derivatives is minimized. solve problem, objective function first converted to a subject Finally, constraints conventional equality via constraint transcription method....

This study proposes an iterative method to approximate N-dimensional optimisation problem with a weighted Lp norm and L2 objective function by sequence of N independent one-dimensional problems. is inspired the existing L1 separable surrogate functional (SSF) shrinkage algorithm. However, as these problems consist functions, are non-convex they may have more than one locally optimal solutions. In general, it very difficult find their globally To address this difficulty, partition feasible...

This paper proposes a hierarchical multiresolution based empirical mode decomposition approach for performing wireless digital demodulation. The waveform corresponding to each symbol is represented as the sum of intrinsic functions. Each obtained function further decomposed via discrete cosine transform approach. First, zeros are inserted in domain. Then, next level performed time coefficients functions where added removed step repeated and form dictionary. received signals corrupted by...

This paper proposes a chaotic filter bank based computer cryptographic system for wireless applications. The signal is first decomposed via an analysis bank. Second, pair of modulators employed performing the encryption on subband signals. Third, encrypted signals are upsampled and filtered so as to obtain oversampled Fourth, quantized multi-dimensional sigma delta modulator. Fifth, encoded low density parity check code scheme. transmitted channel. At receiver side, decoded decoder. Then,...

Abstract A multistage singular spectrum analysis based method is presented to extract the useful component from residue stage by stage. In every of decomposition, sum signal-dominated SSA components treated as denoised signal. The signal-to-noise ratios signals first increase and then decrease. measurement called overlap factor (SOF) proposed estimate optimal which achieves highest SNR. First, calculated measure degree between signal in Then, curve SOF with respect number stages analyzed....

<p style='text-indent:20px;'>This paper proposes an optimization approach to find a set of orthogonal intrinsic mode functions (IMFs). In particular, problem is formulated in such way that the total energy difference between original IMFs and corresponding obtained minimized subject both condition IMF conditions. This consists exclusive or constraint. constraint further reformulated inequality Using Lagrange multiplier approach, it required solve linear matrix equation, quadratic equation...